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Mechanic working on laptop

Applying Agentic AI towards enabling computerized maintenance management systems

In the critical domain of Computerized Maintenance Management Systems (CMMS), solutions like CARL Source empower businesses to efficiently create, schedule, and manage maintenance tasks. These platforms are widely used to coordinate work orders for repairing industrial machinery across multiple factories worldwide. *Update: Coruscant is the name given internally to this R&D project. The commercial name associated with the product is now CARL AI Gen. Traditionally, when a piece of equipment

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Semantic identification and generation illustration

Semantic relationship generating

Relationship identification in documents is part of a project about knowledge graph.A knowledge graph is a way to graphically present semantic relationship between subjects like peoples, places, organizations etc. which makes possible to synthetically show a body of knowledge. For instance, figure 1 present a social media knowledge graph, we can find some information about

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ICM creation methodology

BL.Optim, a better visualization for a better organization

Scheduling staff interventions can easily become a hard work with all the constraints to consider (working time, required skills, localization…). So our team worked on an optimized engine which generates a relevant schedule according to the constraints and standards added by the user (see the corresponding articles for CARL Source or BL.Domicile). But we wondered:

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Tiago in elderly home illustration

Meet Tiago : The future elderly’s best friend

Since August and this article explaining the context and the methodology, our team has used to co-design a social mobile robot with healthcare professional; Tiago has grown up.He has been designed to help and entertain elderly people but also to support caregivers in health services and institutions (EHPAD, day care, rehabilitation center, SSIAD, SSAD).Studying the

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Schema matching illustration

Semantic Mediation for Data Exchange

In the current socioeconomic context, companies must work together. Interoperability, which is the action to work together through systems is an unconditional factor to do so. To work, the information shared needs to be compatible. Information can be incompatible when they’re built differently by people or systems.Mediation goal is to manage syntactic and semantic information

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Management workflow illustration

Using an interactive information visualization to improve administrative management workflows

The time spent processing administrative requests has an impact on citizen satisfaction. Improving administrative workflows is therefore an important objective for town halls. A workflow is made of a starting point, several parallel or sequential process steps (containing one to several actions, and a theoretical completion time) and decision points (Figure 1) to be processed

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Augmented reality illustration

Augmented Reality to help remote assistance

We’ve all been in this situation, doing a manual job while following instructions (to realise a recipe or building your new furniture for instance). How pleasant would it be to have your hands free while processing the actions list?Augmented Reality allows integrating 2D or 3D virtual elements (visuals, acoustic…) to the user world perception. This

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Software testing

Software testing hyper automatization with Artificial Intelligence

Nowadays, societies evolve at a fast pace. These evolution involve changes in our tools. It’s the case with software, they must evolve and stay updated to answer our needs. But, how to make sure software answer our needs despite evolution? A popular and effective way is testing. A test will check a software behavior to

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interoperability illustration

BL.MOM Connector Generation – Part 2

Figure 1. Global architecture of BL-MOM Connector Generator Figure 2. Interoperability contexts catalogue Figure 3. Creating a new connector Figure 4. Integrated AsyncAPI editor and schema documentation Figure 5. Generated message schema documentation – according to the AsyncAPI specification Figure 6. Manually written code on the left side Vs generated code on the right side

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International world flag

Migrating internationalization files

During my Ph.D. migration project, I consider the migration of several GUI aspects: Visual, Behavioral and Business. These elements are the main ones. When perfectly considered, you can migrate the front-end of any application. But, we are missing some other stuff 😄 For example, how do you migrate i18N files? In this post, I’ll present how to build a simple migration tool to migrate I18N files from .properties (used by Java)

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Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”

Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,

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ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!

Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software

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Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”

Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large

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New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies

How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the

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New White Paper – Agentic AI, a Software and Societal Revolution!

Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its

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From the Iberian sun to the Rising sun for federated learning

On September 2024, we had the opportunity to attend two international conferences related to a segment of our work in artificial intelligence : Data Training Without Perturbative Adjustments for Predictive Maintenance The FLTA24 took place from September 17 to 19 in Valencia, Spain. As part of this research, we studied a concrete case: predictive maintenance,

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Discover our 2024 Research & Innovation Yearbook!

We are delighted to present the first edition of the Research and Innovation Yearbook. This annual retrospective reflects the commitment and ambition of our Research and Technological Innovation Department at Berger-Levrault (also available in French and Spanish versions below). By highlighting our most audacious projects and innovative initiatives, we hope to share with you the

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